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All Journal Jurnal Teknologi dan Manajemen Informatika InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JURNAL ILMIAH INFORMATIKA Computer Based Information System Journal Jurnal Informasi dan Komputer Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JPMB: Jurnal Pemberdayaan Masyarakat Berkarakter Ar-Rasyid: Jurnal Pendidikan Agama Islam Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Jurnal Puan Indonesia Jurnal Desain dan Analisis Teknologi Jurnal Pengabdian Ibnu Sina Jurnal Pengabdian Barelang Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Computer & Science Industrial Engineering Journal Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Harman, Rika
Universitas Putera Batam
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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ANALISIS ALGORITMA C4.5 UNTUK MENENTUKAN TINGKAT PROFIT USAHA PADA PT MEGACIPTA SEJATI Harina, Harina; Harman, Rika
Computer Science and Industrial Engineering Vol 3 No 1 (2020): comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

The development of boarding houses in Batam from year to year shows a significant increase. Many people come from distant cities and many people leave their hometowns to come and look for work in Batam, so they do not have a place to live. Many companies are looking for workers to provide housing facilities such as dormitories for workers. PT Megacipta Sejati is a company engaged in the rental of dormitory to companies that provide housing facilities such as dormitories for their workers. During this time the company has a set of data related to the achievement of company performance which has cost a lot but the data cannot be utilized properly. Through the application of data mining technology, a collection of untapped data will be processed and produce new knowledge that becomes valuable and useful for companies, especially in increasing profits. Based on these problems, I as a researcher are interested in researching the c4.5 algorithm analysis to determine the level of business profit at PT Megacipta Sejati. Data Mining is mining or finding new information by looking for certain patterns or rules from a large amount of data that is expected to overcome these conditions. Data Mining itself has several techniques, one of which is classification. The classification technique consists of several methods, and the decision tree is part of the classification method. Then the decision tree method has an algorithm, C4.5 algorithm is one of the algorithms that has a decision tree. The results of this study will produce rules for the company's profit and loss decisions.
PENERAPAN DATA MINING UNTUK PREDIKSI PENJUALAN READYMIX MENGGUNAKAN METODE ALGORITMA C4.5 hendra, hendra; Harman, Rika
Computer Science and Industrial Engineering Vol 3 No 3 (2020): comasie
Publisher : LPPM Universitas Putera Batam

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PT remicon widyaprima is a manufacturing company which is engaged in readymix. Readymix is a mixing material consisting of sand, granite, cement and is also given a special additive that is admixture. PT remicon widyaprima in readymix production has various types of readymix (classes) that have different mutual supports, this is done by researchers who want to analyze. In conducting analisis the researchers used data mining techniques using the classification algorithm c4.5 which was performed using manual calculations and also the researchers used the weka application version 3.9.4 in order to find the results of the prediction of readymix sales at PT remicon widyaprima. from the results of this study, the data obtained can work accurately on the rules of each test, this can facilitate research based on data that has been obtained through the process of testing sales predictions categorized in several variables. Delivery of goods, product quality, product prices, product prices, guarantee / resistance concrete readymix, type readymix and capacity. The researcher used 2 decision variables namely buy readymix and not buy readymix.
PENERAPAN ALGORITMA C4.5 UNTUK MENENTUKAN REWARD KARYAWAN PADA PT INDOLAND BATAM kok seng, vincent kiu; Harman, Rika
Computer Science and Industrial Engineering Vol 4 No 4 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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In the face of intense competition due to technological changes and environmental changes in various areas of life, all companies are looking for employees who have the potential to provide the best and useful services. In this way, the company can not only provide satisfactory service (customer satisfaction), but also embody value (customer value). Operating companies not only pursue productivity but also performance. PT Indoland Batam is a company engaged in online sales or an online shop that provides items such as household appliances, bags, shoes, beauty tools, clothes, and so on. This company was founded in 2017, which is located at Citra Buana Park 1, Blok H No 2, Jalan Yos Sudarso, Kampung Seraya Batam. In determining the reward for employees in the company, there are many obstacles or problems that the company must face, including time efficiency, many comparisons of the variables tested, and decision making to determine the employee's reward. As the years passed, employees at PT Indoland Batam were often dissatisfied with the reward they received, so this problem resulted in underperformance of employees, employee discipline, and employee loyalty to PT Indoland Batam.
PERANCANGAN SISTEM INFORMASI PENYEWAAN RUSUN OTORITA BATAM BERBASIS WEB ZAHARA, MUTHIA; Harman, Rika
Computer Science and Industrial Engineering Vol 5 No 2 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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As the party that manages the Batam city flats, it is hoped that Disperkim will be able to provide good service and deliver information that is easy for residents to understand. One of the obstacles that exist in the Batam Authority Flats is the lack of information about the Batam Authority Flats rental process, it is also difficult for admins in managing the data that is collected. still a paper archive. So we need a system that functions to facilitate the rental process at the Batam Authority flats that uses the PHP programming language and the method used is the waterfall method and MySQL as the database. Where the purpose of this research is as follows to facilitate and assist the Admin in terms of data management of the Web-based Batam Authority Flats rental information system, as well as make it easier in terms of making reports on the Batam Authority Flats tenant information system, also facilitating the provision of information to parties parties who need the data on the rental of the Batam Authority Flats based on the Web, and using the new web-based information system as a substitute for the old system.
PERANCANGAN SISTEM INFORMASI PERSEDIAAN STOK BARANG PADA GUDANG PT BANK NEGARA INDONESIA PERSERO (TBK) Fredy, Julian; Harman, Rika
Computer Science and Industrial Engineering Vol 5 No 2 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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PT Bank Negara Indonesia is one of the oldest banks in the history of the republic of Indonesia which is a state-owned bank. This BNI bank was established on July 5, 1946 and currently BNI already has 1,076 offices throughout Indonesia and several branch offices that are established overseas. Banking has a goal, namely to assist in the development and improvement of economic growth in improving the welfare of the people, which is the oldest in the Act of 1998 Number 10. Based on this purpose, banking in Indonesia must fulfill obligations and fulfill functionalities based on the principles of the people's economy. From this objective, banks in Indonesia must carry out their duties and functions properly and based on economic democracy. The problem that often occurs is if there are too many requests for goods from various outlets, resulting in a large number of request papers being stored and will be reported to the superior as a transaction for the release of goods in the warehouse which results in loss of information and data, thus affecting the final report With the Inventory Inventory Information System Application, the admin can control the entry and exit of goods easily, quickly and efficiently.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MEMPREDIKSI PENJUALAN PADA TOKO JEK YEK SIANG Ong, Ricky; Harman, Rika
Computer Science and Industrial Engineering Vol 6 No 1 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Various business or shops that have used computer technology such as a computerized system of buying and selling processes, this shows that computer technology has developed rapidly. One of the shops that have used a computerized system in the buying and selling process is the Jek Yek Siang shop. Data collection was done by interview and direct observation at the location, the purpose of this study was to find out the best-selling items and to be able to arrange the layout strategy of the goods that could increase sales. This study uses the association method to look for patterns of interrelationships between items that appear the most in data transactions. The process of determining the pattern of purchasing goods is carried out using data mining with the a priori algorithm method, so that the results in the case of the Jek Yek Siang shop are the highest that appear in the Cendana Incese and Cap Merak Tea items with a support value of 26.7% and a confidence value of 100%.
PENERAPAN ALGORITMA C4.5 UNTUK MEMPREDIKSI PENJUALAN SAYUR PADA PT BUMI BHAKTI BARELANG Panjaitan, Tulus Bobi Saen Evansen; Harman, Rika
Computer Science and Industrial Engineering Vol 6 No 4 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Sales can be said to be the center of the business in the field of marketing, in order to get more profit to continue the business. A good company certainly has long-term goals so that it can experience positive developments in the future. With the rapid development of businesses around the world, not a few businesses are built to get more profits with various forms of sales activities. One of the efforts to maintain business stability is to generate sales predictions. The problem faced by the business world today is that there is often an imbalance between supply and demand for goods. The number of buyers and the variety of tastes in the products they have make it difficult for PT Bhakti Bumi Barelang to predict the best-selling items so that they can predict when these items will run out. To overcome this, a vegetable sales prediction system with the highest consumer demand is needed. This prediction will be very helpful for helping vegetable stock supplies such as PT Bhakti Bumi Barelang which plans vegetable stock supplies and informs companies about the products that are most purchased by consumers.
ANALISIS MARKET BASKET PADA MINIMARKET MENGGUNAKAN ALGORITMA APRIORI Lase, Hellina Ofnani; Harman, Rika
Computer Science and Industrial Engineering Vol 7 No 3 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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ABSTRACT The advancement in science and technology has risen and changing people's lifestyles to be fast-paced and practical. Payment utilizing cashier machine and computerized systems are highly useful which is far easier for owners to record transactions, Hokagata Minimarket is one of the minimarkets employing a computerized system for transaction process. The purpose of this study is to determine client purchasing trends in order to guide business owners in planning product layouts. In this study, the authors collect transaction data, select the data at random, make data tabulations, sort the data by determining a minimum support value of 17 percent and a confidence level of 60 percent, and then manage the data using the association method to determine the relationship between frequently occurring data. Excel and Tanagra are utilized for data processing in this study. Alcohol, cigarettes, and kitchen spices had the greatest support value of 27.86 percent and confidence value of 68 percent following the testing technique. A priori application of sales transaction data is particularly advantageous and efficient in the process of constructing product combinations. With the application of this method, the product layout is more selective, and the acquisition of goods is contingent upon comprehension of the outcomes of system testing.
PENERAPAN ALGORITMA C4.5 UNTUK MEMPREDIKSI PROFIT PENJUALAN Calvin; Harman, Rika
Computer Science and Industrial Engineering Vol 7 No 2 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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The development of technology and information has changed all fields, including the development of the business world. It's hard to deny that today's rapidly evolving technology is attracting the attention of many people, including online marketers. An online store business needs to calculate all the important information to run the business plan they manage every year. Yanyan Boutique is a store engaged in online sales or an online store that provides products such as men's and women's clothing, men's and women's wallets, men's and women's bags. Yanyan Boutique started operating in 2018 and is located at the Pasir Putih kiosk block A no 20, Batam Center, Batam City, Riau Islands. Due to changes in customs regulations affecting shipments, every shipment from Batam is subject to heavy taxation, This results in a huge drop in sales. To perform this analysis, the researcher uses data mining techniques with the classification of the C4.5 algorithm which is carried out using manual calculations and the researcher uses the WEKA 3.9.5 application to find out the prediction results of sales profit at Yanyan Boutique. Researchers used 2 decision variables, namely Buy and Not Buy.
ANALISA POLA PEMBELIAN KEBUTUHAN IBU DAN BAYI UNTUK MEMBUAT PAKET BELANJA MURAH DI TOKO LOVE BABY STORE Zai, Onesimo; Harman, Rika
Computer Science and Industrial Engineering Vol 7 No 4 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

Competition in the business sector is a common thing and cannot be avoided. And that also applies to every business entity that is run in the online marketplace. The purpose of this study is to (1) apply data mining with association rules in managing sales data at the Love Baby Store store to produce shopping item sets that can help consumers in the check out process (2) make cheap shopping item sets from the results of sales data analysis previously to find out consumer buying patterns (3) Applying the FP-Growth algorithm, which is one of the algorithms in data mining to determine data that often appears, so that it can get information about consumer patterns and tendencies in shopping. (4) Love Baby store can find out consumer buying patterns, so they can develop new business strategies, such as designing cheap shopping item sets that can make it easier for consumers to check out and at a more affordable price. This research is a research that uses data mining in the form of sales transaction data for 3 months. This data was analyzed using FP-Growth. The results of this study are the number of purchase intentions is influenced by several factors, namely the relatively cheaper price and the existence of a discount or free shipping promo. The purchase pattern is designed using the FP-Growth method with the result "If consumers buy the Zap Jip Off Road 4 Drive Inertial Baby Toy Car, they will also buy a Fruit Teether/Baby Tooth Teether [Without Packing]" with a confidence level of 67%
Co-Authors Alfannisa Annurullah Fajrin Algifanri Maulana, Algifanri Alyshen, Alyshen Ambarita, Tri Mey Wendelina Amrizal Amrizal Amrizal Amrizal Amrizal Andarwati, Alifia Putri Andini, Mayada Dwi Arnomo , Sasa Ani Arnomo, Sasa Ani Ayu Wulandari Azwanti, Nurul Calvin Darmansah Darmansah, D Darmansah, Darmansah Devina Desliana Siagian Elisa, Erlin Ellvan Reisyer, Kevin Ellvan Reisyer Evan Rosiska Fredy, Julian Handoko, Koko Harina, Harina Hendra Hendra Hendra Purnama Ika Purnama Sari kok seng, vincent kiu Lase, Hellina Ofnani Narti Eka Putria Nofriadi Nofriadi Nopriadi Nopriadi Novri Adhiatma Ong, Ricky Panjaitan, Tulus Bobi Saen Evansen Pardede, Grace Theresia Rahmat Fauzi Reisyer, Kevin Ellvan Rosiska, Evan Sarah Astiti S.Kom., M.MT Sepentia, Nirpan Sigalingging, Iska Heriyati Simanjutak, Pastima Syahril Effendi Syaputra, Wendy Telutci, Telutci Tri Driano, Welly Tukino, Tukino tukino, tukino Vilona Fitri Alfionita ZAHARA, MUTHIA Zai, Onesimo Zetli, Sri